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Prognostic factors were well balanced across the propensity strata.
As a sensitivity analysis, we also obtained a weighted estimate of the pooled odds ratio across the propensity score strata.
The pooled odds ratio across the propensity score strata was 2.95 (95% CI, 2.44 to 3.57), which results in an estimated risk difference between school dropouts and completers of 16.7% points (95% CI, 12.2 to 21.3).
Within each propensity score quintile, mortality was always higher in the low-dose corticosteroid group than in the non-low-dose corticosteroid group, with an increasing mortality trend across the propensity score quintiles (see Additional file 1, Table S3).
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Cox models were stratified across 10ths of the propensity score.
The MOR was 1.80 indicating heterogeneity across hospitals in the propensity for individuals with similar characteristics to receive HH.
For MACEs, gradients across levels of the propensity score for the treated and untreated groups were strong and unexpectedly different.
The MOR was 1.52 indicating heterogeneity across hospitals in the propensity for individuals with similar characteristics to receive institutional care.
The MOR was 4.75, indicating considerable heterogeneity across hospitals in the propensity of an individual to use SNF versus IRF care.
The MORs for our models ranged from 1.52 – 4.75 and the unexplained variation due to unmeasured hospital characteristics ranged from 645percentcent, indicating heterogeneity across hospitals in the propensity of individuals with similar characteristics to use the same type of PARC.
In addition, we stratified the regression models of sickness and disability following dropout across the quintiles of the propensity score for high school dropout.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com